Job description

Job Description – Key Responsibilities • Develop, test, and deploy cloud-native and AI-enabled enterprise applications end to end. • Engage directly with customers and stakeholders to gather requirements, clarify technical constraints, and present solution approaches. • Design and implement AI-driven automation, agentic workflows, and LLM-integrated features within applications. • Build scalable microservices-based backend systems using C# / .NET Core and Python. • Develop and maintain REST APIs, cloud service integrations, and enterprise connectors. • Own DevOps workflows including CI/CD pipelines, containerized builds, and Kubernetes deployments. • Collaborate with architects and cross-functional teams in design discussions, code reviews, and solution workshops. • Proactively communicate progress, risks, and technical decisions to both technical and non-technical audiences. Required Experience & Skills AI & Intelligent Automation • Strong hands-on experience with LangChain and Semantic Kernel for building LLM-powered applications. • Strong proficiency in Azure AI Services, including Azure OpenAI Service and Cognitive Services. • Good knowledge of Azure AI Search as a vector store for retrieval-augmented generation (RAG) patterns. • Strong understanding of prompt engineering, agentic workflows, and AI orchestration patterns. Technical Experience • 10+ years of hands-on software development experience. • Strong proficiency in C# / .NET Core for backend service development. • Strong working knowledge of Python for automation, scripting, and AI integration. • Strong hands-on experience with Angular and modern front-end applications. • Proven experience building microservices and distributed systems in production environments. • Strong hands-on experience with Microsoft Azure cloud services, including application hosting, storage, messaging, and CI/CD automation. • Strong proficiency in Docker and Kubernetes for containerized application deployments. Additional Technical Skills • Strong hands-on experience in data modeling, query optimization, and selecting appropriate storage patterns. Proficiency in SQL Server, with working knowledge of CosmosDB, PostgreSQL, or similar. • Strong knowledge of OAuth 2.0, Azure Entra ID, and API security best practices for enterprise applications. • Good knowledge of application logging, monitoring, and alerting using Azure Application Insights or similar tools. • Experience with Infrastructure as Code using Terraform or Bicep is a value add. Soft Skills • Excellent customer-facing communication skills with the ability to explain technical concepts clearly to non-technical stakeholders. • Comfortable working directly with clients, handling queries, and building trust through responsiveness and reliability. • Collaborative mindset with strong problem-solving and solution-oriented thinking. • Ability to thrive in fast-paced, delivery-focused environments.

Requirements

Must-haves

Job Description –
Develop, test, and deploy cloud-native and AI-enabled enterprise applications end to end.
Engage directly with customers and stakeholders to gather requirements, clarify technical constraints, and present solution approaches.
Design and implement AI-driven automation, agentic workflows, and LLM-integrated features within applications.
Build scalable microservices-based backend systems using C# / .NET Core and Python.
Develop and maintain REST APIs, cloud service integrations, and enterprise connectors.
Own DevOps workflows including CI/CD pipelines, containerized builds, and Kubernetes deployments.
Collaborate with architects and cross-functional teams in design discussions, code reviews, and solution workshops.
Proactively communicate progress, risks, and technical decisions to both technical and non-technical audiences.
Required Experience & Skills
AI & Intelligent Automation
Strong hands-on experience with LangChain and Semantic Kernel for building LLM-powered applications.
Strong proficiency in Azure AI Services, including Azure OpenAI Service and Cognitive Services.
Good knowledge of Azure AI Search as a vector store for retrieval-augmented generation (RAG) patterns.
Strong understanding of prompt engineering, agentic workflows, and AI orchestration patterns.
Technical Experience
10+ years of hands-on software development experience.
Strong proficiency in C# / .NET Core for backend service development.
Strong working knowledge of Python for automation, scripting, and AI integration.
Strong hands-on experience with Angular and modern front-end applications.
Proven experience building microservices and distributed systems in production environments.
Strong hands-on experience with Microsoft Azure cloud services, including application hosting, storage, messaging, and CI/CD automation.
Strong proficiency in Docker and Kubernetes for containerized application deployments.
Additional Technical Skills

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aillmpythonrestci/cdkubernetesazureangulardockersqlapi

Platform: careers-browser
Effort: medium